Medical waste management in a mid-populated Turkish city and development of medical waste prediction model

• Published in: Environment, development and sustainability development and sustainability, 2020-10, Vol.22 (7), p.6233-6244
• Main Authors: Çetinkaya, Afşin Yusuf, Kuzu, S. Levent, Demir, Ahmet
• Format: Article
• Language: English
• Subjects: Age differences; Classification; Decision makers; Earth and Environmental Science; Ecology; Economic factors; Economic Geology; Economic Growth; Environment; Environmental aspects; Environmental Economics; Environmental effects; Environmental Management; GDP; Gross Domestic Product; Hazardous wastes; Health services; Hospitals; Management systems; Medical wastes; Municipal wastes; Prediction models; Regression models; Sustainable Development; Waste disposal; Waste management; Waste management industry
• ISSN: 1387-585X; 1573-2975
• DOI: 10.1007/s10668-019-00474-6

Waste remains a very complex problematic issue on human society due to its health and environmental effects, economic aspects and social impacts. Medical waste is in a special classification and is supposed to be more hazardous compared to municipal wastes. Therefore, collection, storage, transfer and disposal of medical waste need more delicate measures. These four cycles of waste handling comprise the waste management system. The amount of future medical waste is important in studies on waste management. In order to form an accurate strategy, the amount of waste that is generated must be known with high precision. Accurate estimation can help both planning and designing medical waste management systems. In the present work, a regression model was performed in order to estimate the amount of waste generated by the hospitals in Aksaray city. The inputs of the model were the patient number in three different age classes (0–15; 15–65; 65